Co-author and Maintainer

Data Science for Psychology: Natural Language

https://ds4psych.com

Since 2024

An open-source, interactive textbook covering state-of-the-art methods for analyzing psychological properties of text, as well as the fundamentals of data visualization, data collection, and scientific methodology necessary to produce meaningful work in the field.

Research Assistant

Collaboration with Google Jigsaw: Applying Prebunking Classifiers

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Since 2024

Lead role in research on new machine learning classifiers developed by Google. Regularly present findings to the Google team. Integrated theoretical framework on rhetoric with empirical findings on large, naturalistic datasets. Ongoing development of benchmark dataset for harmfulness in online discourse.

Data Analyst

Autodesk | Internship

Tel Aviv, Israel

Since 2023

Wrote complex SQL queries in Snowflake. Analyzed user behavior using R and ggplot2. Prepared presentations for Data Science and Data Analytics teams. Collaborated with UX Research team to develop evidence-based coding for data.

R Developer

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Since 2021

• Developer of embedplyr, which enables common operations with word and text embeddings within a ‘tidyverse’ and/or ‘quanteda’ workflow.
• Developer of wormsplot for visualizing the movements of historical figures; Read the blog post.

PhD in Social Psychology

Ben-Gurion University

Be’er Sheva, Israel

2024 - Present

Supervisor: Dr. Almog Simchon

M.A. in Experimental Cognitive Psychology

Ben-Gurion University

Be’er Sheva, Israel

2022 - 2024

Dean’s List

Supervisor: Prof. Yoav Kessler

B.A. in Psychology with Minor in Biology

Yeshiva University Honors

New York, NY

2018 - 2021

Graduated Magna Cum Laude

Activities and societies: Neuroscience Club President

Chaplain Joseph Hoenig Memorial Award for Excellence in the Study of Psychology

Yeshiva University Psychology Department

New York, NY

Sep 2021

American Psychology-Law Society Grant for Undergraduate Research

American Psychological Association Division 41: American Psychology-Law Society

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Jan 2021

For research in marital power dynamics in divorce mediation.

Books

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• Teitelbaum, L., & Simchon, A. (2024). Data Science for Psychology: Natural Language. https://doi.org/10.5281/zenodo.10908367

Papers

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• Teitelbaum, L. & Simchon, A. (2024). Neural Text Embeddings in Psychological Research: A Guide With Examples in R. [Under review]. https://osf.io/wj96q/?view_only=57966181c5e94dce971b0304ebad90e3
• Teitelbaum, L., & Simchon, A. (2024). Modeling Word Frequencies: Common Practice Risks False Positives. https://osf.io/mqbdr/?view_only=8c2797bcb78543fd9bac64b9451205e3
• Teitelbaum, L. & Kessler, Y. (2024). Perceptual Anticipation is Independent from Spatial Attention and Motor Preparation. [Manuscript in preparation].

Theses

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• Teitelbaum, L. (2021). When faithful informational exchange is just not worth it: Reformulation ability as a predictor of other-initiated repair [Honors thesis, Yeshiva University]. Yeshiva Academic Institutional Repository.

Poster Presentations

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• Teitelbaum, L. & Galantucci, B. (2021). When faithful informational Exchanges are just too much work: Repair avoidance and reformulation cost. Poster presented at the 2021 Association for Psychological Science (APS) Virtual Convention.
• Teitelbaum, L., Isaacs, J., & Pittinsky, N. (2021). Is power all bad? Marital power imbalances and effective role division. Poster presented at the 2021 Association for Psychological Science (APS) Virtual Convention.